Triple

T8796196
Position Surface form Disambiguated ID Type / Status
Subject Posto 8 E209293 entity
Predicate near P350 FINISHED
Object Posto 7
Posto 7 is one of the numbered beachfront lifeguard and gathering points along Rio de Janeiro’s famous beaches, commonly used as a reference spot by locals and visitors.
 E759566 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Posto 7 | Statement: [Posto 8, near, Posto 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Posto 7
Context triple: [Posto 8, near, Posto 7]
  • A. Posto 9
    Posto 9 is a famous and trendy stretch of Ipanema Beach in Rio de Janeiro, known for its lively social scene and iconic views.
  • B. Posto 8
    Posto 8 is a popular lifeguard-station beach area in Ipanema, Rio de Janeiro, known for its lively atmosphere and diverse crowds.
  • C. Posto 10
    Posto 10 is a popular lifeguard station area and beach section in Ipanema, Rio de Janeiro, known for its vibrant social scene and scenic oceanfront.
  • D. Posto
    Posto is a Bengali-language family drama film that explores generational conflict and custody battles within a modern Indian family.
  • E. Ponto de Parada
    Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Posto 7
Triple: [Posto 8, near, Posto 7]
Generated description
Posto 7 is one of the numbered beachfront lifeguard and gathering points along Rio de Janeiro’s famous beaches, commonly used as a reference spot by locals and visitors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Posto 7
Target entity description: Posto 7 is one of the numbered beachfront lifeguard and gathering points along Rio de Janeiro’s famous beaches, commonly used as a reference spot by locals and visitors.
  • A. Posto 9
    Posto 9 is a famous and trendy stretch of Ipanema Beach in Rio de Janeiro, known for its lively social scene and iconic views.
  • B. Posto 8
    Posto 8 is a popular lifeguard-station beach area in Ipanema, Rio de Janeiro, known for its lively atmosphere and diverse crowds.
  • C. Posto 10
    Posto 10 is a popular lifeguard station area and beach section in Ipanema, Rio de Janeiro, known for its vibrant social scene and scenic oceanfront.
  • D. Posto
    Posto is a Bengali-language family drama film that explores generational conflict and custody battles within a modern Indian family.
  • E. Ponto de Parada
    Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.